Year: 2024
Type: article
Abstract: This Gradio app detects fake images using a fine-tuned InceptionResnetV1 model with VGGFace2 weights. It employs MTCNN for face detection and extraction, resizing the face for model compatibility. Grad-CAM provides explainability by highlighting face areas influencing predictions, overlaying a heatmap on the original image. The model outputs confidence scores for "real" or "fake" classifications. Results and visualizations are displayed in an interactive Gradio interface. Keywords- Deep fake Detection ,Convolutional Neural Networks (CNNs),Generative Adversarial Networks(GANs), Image Forensics, Anomaly Detection, Artifact Detection, Feature Extraction, Visual Inconsistencies, Adversarial Robustness.
DOI: 10.55041/ijsrem39999
Authors: Sandeep B, Spandana S Nair, Sahana Kannammanavar, Saanvi B S, Shivani U
Institution: Jawaharlal Nehru New College of Engineering
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405689453